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malicious user in this case is to convince the location determination system that the node is present in a region where it physically is not The intruder is assumed to be limited in its capabilities in that he can only deploy a single node and does not have specialized hardware such as high gain or directional antennae The system components such as the various anchors and the sink are all assumed to be trusted Given such a threat model, it is easy to see that a system based on this idea of varying the transmission powers will be secure when the number of power levels is large enough In this case any sensor node acting alone cannot falsify its location When the number of power levels is small (the more realistic case), then a malicious node can appear to be in a neighboring region For example, consider Figure 723 Here a node present in location marked as 1 hears the set of nonces fN13, N14, N15, N23, N24, N25, N33, N34, N35g where, as earlier, Nij represent the jth nonce from the ith anchor Such a node can drop nonce N23 from the set of nonces it hears and thereby appear to be in location 2, which corresponds to the nonce set fN13, N14, N15, N24, N25, N33, N34, N35g If the node is present in location 2, however, it cannot pretend to be in location 1, although it can pretend to be in location 3 by skipping nonce N24 On the other hand, a node present in location 4 can hear a set of nonces fN13, N14, N15, N24, N25, N34, N35g and such a node cannot spoof its location at all Similarly, a node in location 3 also cannot spoof its location A localization scheme results in secure localization when applied to such locations, which are the nonspoofable locations When the number of power levels increases, such nonspoofable locations dominate Of course, it would also be possible to increase the number of anchor points, which could also result in increase in the number of nonspoofable areas Another way of looking at this is to assume that the resolution of localization is larger than each subregion, where a subregion is an area such as 1 in Figure 723, which has a unique set of beacons associated with it Another way to make it dif cult for the malicious node to spoof an area by using the above procedure (of ignoring some nonces) is to make it dif cult for this node to relate the nonce transmitted to the power level This could be done by transmitting the nonces randomly and not in the sequence of increasing or decreasing power levels.

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NN = 10 | drun ------------------------DYNAMIC ------------------------x = f(t) | xsum = xsum + x type x, xsum

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JMS can participate in transactions with other J2EE services such as EJB In addition to this capability, JMS can also provide transactional support within aJMS session When JMS participates in a transaction that goes beyond the scope of a JMS session, the transactional support of JMS cannot be used since the whole transaction is handled by the Java Transaction API (JTA) AJMS transaction is one that is considered a single unit from the moment a message is produced to when it is consumed Transacted messages are buffered until committed For messages that have been consumed, an acknowledgement will not be issued until a commit has occurred For messages that are produced, they will not be sent to the WebLogic server until the transaction commits Transactions can rollback If this happens, the consumed messages are recovered and the produced messages are destroyed When a rollback is performed a session is recovered That is, a session will be stopped and restarted with the first unacknowledged message Transactions in JMS transacted sessions are chained; once a transaction has been committed or rolled back, another transaction begins automatically When a session is transacted, message acknowledgement is automatic If a session is not transacted there are three options that define the condition under which the session will acknowledge the receipt of a message to the JMS server: Q DUP_OK_ACKNOWLEDGE - The session will acknowledge the delivery of messages, but it is lazy If the JMS server fails there is a possibility of delivering some duplicate messages Use this option only if the consumer can handle duplicate messages This is the option with the lowest overhead, as the session does not have to work on preventing duplicates AUTO_ACKNOWLEDGE - The session will automatically acknowledge the receipt of the message when the consumer has completed the execution of the receive () method, in the synchronous case, or the asynchronous message handler CLIENT_ACKNOWLEDGE - The client is responsible for acknowledging the receipt of a message The client uses the acknowledge () method of the message object to do this Calling this method will acknowledge all consumed messages that have not been acknowledged.

computes successive sums xsum(t) = x(1) + x(2) + + x(t) for t = 1, 2, in the manner of Section 2-2 As noted there, DESIRE automatically recognizes xsum = xsum + x as a difference equation and assigns the default initial value x(0) = 0, so that we correctly implement the recursion

When talking about producers and consumers, there are a couple of special cases that have to be considered in the Publish and Subscribe model Topic Subscribers can be durable or non-durable A nondurable Topic Subscriber will only receive messages sent when its session is active; the subscriber will never see any other messages A durable Topic Subscriber will receive all the messages it is subscribed to, even those that are sent while its session is not active The latter will be received when the session becomes active again The WebLogic server stores messages in a database until the message has been delivered to all durable subscribers or it has expired according to the predefined lifetime of the message A special note has to be made regarding multithreading When using JMS API the session, message producer, and message consumer objects cannot be used concurrently JMS Connections, connection factories, and destinations can be used in a multithreaded fashion

Note that, if the malicious node studies and tries to infer the power levels of all the transmissions at different regions, then the probability for the node being able to spoof its location increases It should be noted that such a localization scheme based on varying the transmission powers can be used in conjunction with the other conventional distance estimation schemes For example, the SS of the sensor node transmission may be recorded by the anchors while the collected nonce set is transmitted back to sink by the sensor node An SS-based localization scheme may then be used in addition to the proposed scheme in order to enhance the distance estimation

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